Artificial Intelligence (AI) continues to be a powerful change catalyst for global industries and businesses as we edge deeper into the digitally transformed society. As AI evolves, so do the industries it powers. New developments in AI reveal new opportunities for businesses enabled by this ever-evolving and versatile technology to grow concurrently.
However, keeping up-to-date with the latest AI trends and advancements is almost as difficult as wiping the windscreen of a moving car — difficult, but not impossible.
Luckily for you, your tech-tastic Brainiacs have taken the time to calculate the velocity of the moving target that is AI trends and wiped the dirty windscreen of ignorance to give you a clear sight of the way forward (at 100mph).
In other words, we’ve compiled a list of the most interesting AI trends to look out for in 2022.
Gartner still asserts that hyperautomation (or the process of automating everything that can be automated) is crucial for any organisation to keep up with the digital advancements of modern business practices.
In 2022, hyperautomation will continue to be the driving force of digital transformation with the aim to streamline processes to create higher efficiency, accuracy, and output. As the world continues to adopt digital technologies as drivers for innovation and growth, RPA is key in establishing a grounding to accelerate business processes in the years to come.
As complex IT environments and technologies continue to evolve, AIOps is used to improve key processes and tasks of an organisation’s IT operations through better analysis of large volumes and categories of collected data.
Using Machine Learning’s (ML) ability to gather and synthesise immense data chunks, organisations benefit from more accurate predictions that lead to better decision-making opportunities. Furthermore, this technology enables cross-team collaboration through the correlation of data, paving the way for end-to-end digital experiences across entire organisations.
The voice and speech recognition market has grown at a CAGR of 17.2% since 2019 and is projected to grow from USD 8.3 billion in 2021 to USD 22.0 billion by 2026. The pandemic has created a surge in smart speaker usage and facilitated a steady move toward contactless technologies for hygiene safety concerns.
2021 saw the rise of voice solutions aimed at improving business processes (i.e. voice in meetings and voice for business intelligence) and 2022 will follow suit. Voice assistants will increasingly be tailored to specific business challenges and integrated with internal systems, such as CRM and business processes.
As private companies power AI’s advancements, the lack of governmental oversight has pushed the debate over the ethics of responsible AI to the fore. In 2022, we will likely see continued initiatives from global AI partnerships on how to leverage AI to battle against major global issues, such as climate change, and inclusion and diversity. Ethics will continue to play a major part in the stimulation of innovation and economic growth as more organisations realise the need for responsible tech. Fairness of algorithms and data transparency are issues that will need to be addressed this year as AI adoption is more widespread than ever.
2021 established the gravitas of the AIoT as the merger between AI and the Internet of Things (IoT) became more sophisticated. AI’s ability to present actionable insights in real-time will continue to drive the IoT to new heights by allowing it to perform actions based on the data IoT devices collect.
A major driving factor to this technology is the rollout of 5G which is already enabling faster transfers of large volumes of data across IoT devices. This will result in the increase of smart homes, offices, and cities powered by sensor-driven devices in 2022 as AI’s intervention in this tech allows for automated processes at a much larger scale.
As more of the world pivots to remote working systems, 2022 will see AI being used for preventative cybersecurity initiatives. This is mainly due to the proliferation of workers’ personal laptops and computers being used to access organisation’s servers which opens companies up to cyber threats.
Unfortunately, cybercriminals are using AI technology to bypass conventional IT security systems to infiltrate systems housing sensitive company and personal data. But AI also helps in the fight against cyber threats, and this year we predict more organisations placing more money into securing their data through the use of sophisticated cybersecurity technologies.
The pandemic is continuously showing businesses the real value of AI and RPA as the driver of efficiency, accuracy, and improved customer satisfaction. According to a PwC survey, 86% of respondents said that AI has become mainstream in their business operation in 2021, which will see a dramatic increase in AI investment in global enterprises. In many instances, businesses have been able to remain operational during the pandemic thanks to AI technology, and amidst the uncertainty of the future, organisations are placing their bets on smart technology to foster growth and drive revenue.
AI is present in almost every digital touchpoint we interact with, and for good reason – it just makes things easier, simpler and faster. AI has been assisting businesses with office and administrative automation for years, from repetitive rules-based tasks to more high-level data synthesising – you name it.
But 2020 (and beyond) will see AI become more sophisticated in the workplace, offering us time to handle more complex tasks while the machines take care of the time-consuming remedial processes through robotic process automation (RPA). AI can now help us create websites, complete forms, create documents and find information needles in gargantuan-sized data haystacks in far more sophisticated and streamlined manners than ever before.
What is most important about AI in the workplace is that while in the last few years much of the list above has been supposition, theories and prototypes are moving out of the lab and being run in world scenarios by organisations large and small. The figurative training wheels are coming off and we’re beginning to see if, as expected, RPA technology is saving organisations time and money. Many companies heading into their financial year-ends between April and July will be able to see dollar and cent results on their AI innovation.
Although facial recognition technology has been subject to much controversy and debate, its popularity among global enterprises and governments will see the tech’s refinement and roll out at scale in 2022.
Facial recognition technology will get better at doing what it is designed to do: tracking nodal points on a human’s face to match to an image database. The tech is relatively new, so its accuracy has come under fire from opponents. However, with improvements to our deep learning and machine learning capabilities, facial recognition software will become far more reliable in 2022.
Personalised digital experiences have quickly become standard as users expect customised dealings with brands of all types, from banking through to e-tail. This has led to a boom in advancements of Machine Learning (ML) and AI’s predictive capabilities which are helping businesses gather more reliable insights into users.
The accuracy of this tech will continue to evolve as users continue to expect more personalised touches at each digital interaction. Businesses will get a more complete picture of the personalities behind their users in order to predict and suggest products better, and consumers will appreciate far improved streamlined shopping experiences. The biggest improvement in this tech for 2022 will be businesses’ ability to achieve this kind of personalisation at scale.
As we’ve previously mentioned, most of the AI the average person interacts with operates in ‘the cloud’ – a geographically-specific location housing high-powered data centres in server rooms.
Each time you search for something online, make a purchase or even stream the latest television series, the information is sent from these server rooms directly to your device, which are often located on opposite sides of the globe. This puts heavy strain on our global bandwidth highway and with the increased rollout of internet-ready devices (IoT), we need to find new ways of freeing up bandwidth. Enter edge computing.
The idea is that we bring computation to ‘the edge’. Smart devices will run the power-heavy processing in isolation close to the source and only important information is sent back to server rooms across the world, freeing up our global bandwidth. 5G’s rollout is seeing the adoption of edge computing at scale. In 2021, the number of worldwide IoT devices sits at 13.8 billion units but this is expected to rise to 30.9 billion by 2025.
There you have it, our consolidated list of the most important AI trends to look out for in 2022. As some of these items are not entirely new, they have made significant progress in evolution in recent years. As the technology is finessed, so have the systems they benefit.
We will continue to track the latest AI trends in the coming years, so be on the lookout for our next list.
This article was originally published by WeAreBrain.
Terug
